An evidence-based audit
Inspect representative pages, rendering behavior and crawl signals. Where available, field performance data and Search Console reports help distinguish actual user and indexing problems from isolated lab results.
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06. Consulting
I improve how quickly your site works and how clearly search engines can understand it. The work combines performance investigation, technical SEO and content structure that helps people and AI search systems find useful answers.
The right fit
Technical SEO makes public content easier to crawl, index and interpret. Web performance improves the experience of loading and using that content. Generative engine optimization, or GEO, overlaps with those foundations: clear information, identifiable authorship and accessible pages give AI search systems better source material. None of these changes guarantees rankings or citations.
For businesses with slow public websites, Next.js or React products with indexing problems, and teams publishing useful content that is difficult to discover or understand.
From scope to handover
The exact deliverables are agreed around your project. These are the core areas of the service.
Inspect representative pages, rendering behavior and crawl signals. Where available, field performance data and Search Console reports help distinguish actual user and indexing problems from isolated lab results.
Prioritize the main bottlenecks in images, fonts, JavaScript, data fetching and layout behavior. Compare before and after under consistent conditions, and document tradeoffs rather than optimizing for a single synthetic score.
Review status codes, internal links, titles, descriptions, canonical URLs, sitemaps and indexing directives. Structured data describes the visible content and the actual business instead of inventing reviews, offers or credentials.
Organize important pages around specific questions, direct answers and useful detail. Verify the delivered HTML, metadata and markup, then provide a prioritized follow-up plan for issues that require content, external validation or more measurement.
Clear decisions, working increments and an agreed release scope.
Identify important landing pages and collect available crawl and performance evidence.
Separate indexing blockers, user experience problems and content gaps by impact.
Improve rendering, assets, metadata, links and content structure within the agreed scope.
Recheck affected pages and document what needs live search or field-data follow-up.
Selected to fit your requirements and existing systems.
Plan with clarity
The scope depends on the number of page templates, the framework, available measurement data and the depth of implementation required. An audit and a code-level remediation project are different deliverables. Search performance also depends on content quality, competition and factors outside the codebase.
Share your important URLs, target audience and the problems you want to solve. Existing Search Console and performance reports are useful where available. For implementation work, access to the codebase and a representative deployment helps verify changes.
Explore my project portfolio for examples of my work, or send your project brief to discuss the fit.
Before we begin
SEO improves discovery and presentation in search engines. GEO describes work intended to improve how content is understood or referenced in generative search answers. Both benefit from accessible pages, clear facts, useful answers and a consistent site identity; there is no special markup that guarantees AI inclusion.
No. Search engines and AI systems decide what to show, and their decisions depend on more than technical implementation. I can improve specific issues, verify the changes and define what to measure. I do not promise a ranking position, traffic volume or citation count.
Yes. Typical review areas include server-rendered content, route metadata, canonical URLs, redirects, error responses, sitemaps and the boundary between public and private pages. The correct fix depends on the application’s rendering and deployment behavior.
A lab score is a diagnostic signal, not a ranking guarantee. I use it to investigate issues alongside real-user data where available. The aim is to improve loading, responsiveness and visual stability for users while preserving the functionality the page needs.
Code and rendering changes can be checked after deployment. Field performance data needs enough real visits, and search changes depend on recrawling and indexing. The handover separates immediately verifiable improvements from outcomes that need longer observation.
Ready to start?